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MetaDetect
The dataset used for object detection with deep neural networks, including Kitti, Pascal VOC, and COCO datasets. -
Augmented Reality Meets Deep Learning for Instance Segmentation in Urban Scenes
Augmented reality meets deep learning for instance segmentation in urban scenes. -
MNIST and CIFAR10
The MNIST and CIFAR10 datasets are used to evaluate the proposed Adversarial Training with Transferable Adversarial Examples (ATTA) method. -
Mask R-CNN
The dataset used in this paper for training and testing the KAISA optimizer framework. -
Bottleneck Layer
The dataset used in this paper is a Bottleneck layer, which is a type of convolutional neural network layer. The dataset is used to evaluate the performance of the proposed... -
Synthetic data generation for steel defect detection and classification using ...
The dataset is used for steel defect detection and classification. -
Leather defect classification and segmentation using deep learning architecture
The dataset is used for leather defect classification and segmentation. -
BIMCV-COVID19 Dataset
BIMCV-COVID19 Dataset -
GraphXCOVID
GraphXCOVID: Explainable Deep Graph Diffusion Pseudo-Labelling for Identifying COVID-19 on Chest X-rays -
COVID-19 Detection from X-ray Images
The dataset for COVID-19 detection from X-ray images of the chest. -
Proposed Framework
The proposed framework aims to address the limitations of deep learning applications for ECG signal classification. Secondly, we proposed a new classifier for ECG signals. When... -
CIFAR-10/100 and Imagenette datasets
The dataset used in this paper is CIFAR-10/100 and Imagenette datasets. -
Anomaly Detection using Deep Reconstruction and Forecasting for Autonomous Sy...
The dataset used for anomaly detection in autonomous systems using video and IMU data. -
BERT: Pre-training of deep bidirectional transformers for language understanding
This paper proposes BERT, a pre-trained deep bidirectional transformer for language understanding. -
Selecting Receptive Fields in Deep Networks
The authors used the CIFAR-10 dataset for evaluating the quality of unsupervised representation learning algorithms. -
Cifar-10 and TinyImagenet
The dataset used in the paper is Cifar-10 and TinyImagenet. -
YouTube-VIS
Video instance segmentation task requires classifying, segmenting instances in each frame, and tracking the same instance across frames.
